Triple

T12714523
Position Surface form Disambiguated ID Type / Status
Subject Melvin Franklin E303801 entity
Predicate notableWork P4 FINISHED
Object My Girl E292565 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: My Girl | Statement: [Melvin Franklin, notableWork, My Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Girl
Context triple: [Melvin Franklin, notableWork, My Girl]
  • A. My Girl chosen
    "My Girl" is a classic 1964 soul song by The Temptations, celebrated for its smooth vocals, memorable bassline, and enduring status as one of Motown's signature hits.
  • B. My Girl
    My Girl is a 1991 coming-of-age comedy-drama film about an 11-year-old girl coping with loss and growing up, co-starring Dan Aykroyd, Jamie Lee Curtis, and Macaulay Culkin.
  • C. My Girl to Me
    "My Girl to Me" is a song by the American indie rock band Local Natives from their debut album "Gorilla Manor."
  • D. Your Girl
    "Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
  • E. Dream Girl
    Dream Girl is a popular Indian romantic comedy film produced by Ekta Kapoor, known for its quirky premise and humorous take on love and identity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620a7554819083784897ff690652 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671bad5108190915d14c3ec3d2e27 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.